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04/19/2023
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Prompt-based learning reformulates downstream tasks as cloze problems by...
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02/04/2023
Semantic-Guided Image Augmentation with Pre-trained Models
Image augmentation is a common mechanism to alleviate data scarcity in c...
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09/23/2022
MetaPrompting: Learning to Learn Better Prompts
Prompting method is regarded as one of the crucial progress for few-shot...
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05/25/2022
Language Anisotropic Cross-Lingual Model Editing
Pre-trained language models learn large amounts of knowledge from their ...
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04/02/2022
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging
Prompting methods recently achieve impressive success in few-shot learni...
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10/05/2021
Data Augmentation Approaches in Natural Language Processing: A Survey
As an effective strategy, data augmentation (DA) alleviates data scarcit...
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09/27/2021
Discovering Drug-Target Interaction Knowledge from Biomedical Literature
The Interaction between Drugs and Targets (DTI) in human body plays a cr...
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12/13/2020
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling
Slot filling, a fundamental module of spoken language understanding, oft...
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10/11/2020
Few-shot Learning for Multi-label Intent Detection
In this paper, we study the few-shot multi-label classification for user...
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09/17/2020
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding
Few-learn learning (FSL) is one of the key future steps in machine learn...
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06/10/2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
In this paper, we explore the slot tagging with only a few labeled suppo...
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04/27/2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Deep pretrained language models have achieved great success in the way o...
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09/10/2019
A Corpus-free State2Seq User Simulator for Task-oriented Dialogue
Recent reinforcement learning algorithms for task-oriented dialogue syst...
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06/20/2019
Few-Shot Sequence Labeling with Label Dependency Transfer
Few-shot sequence labeling faces a unique challenge compared with the ot...
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07/04/2018